{"id":"W4412440532","doi":"10.1016/j.gfs.2025.100871","title":"Resilient and inclusive rural transformation: Pathways towards improved nutrition","year":2025,"lang":"en","type":"article","venue":"Global Food Security","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Impact","funders":"United Nations; Bill and Melinda Gates Foundation","keywords":"Transformation (genetics); Geography; Business; Biology; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002804772,0.0004871633,0.0002968682,0.0006010465,0.005287555,0.006711663,0.001091163,0.001997639,0.02688863],"category_scores_gemma":[0.003722662,0.0001717182,0.0003710376,0.0006330126,0.008186079,0.00492865,0.01631758,0.003719951,0.001671801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00314155,"about_ca_system_score_gemma":0.01512676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003735757,"about_ca_topic_score_gemma":0.01106054,"domain_scores_codex":[0.9982126,0.0007697542,0.00002617602,0.0001198088,0.0001213339,0.000750344],"domain_scores_gemma":[0.9971065,0.0003796205,0.0001896408,0.0001410689,0.0002169795,0.001966324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002256183,0.001290572,0.01739897,0.0009300504,0.00009992949,0.001365281,0.07598208,0.000924291,0.003221108,0.5199475,0.08275492,0.2958595],"study_design_scores_gemma":[0.00005875912,0.0004345601,0.02194232,0.001197529,0.00003682723,0.0006285753,0.1617329,0.0004580616,0.0008873907,0.349465,0.4630996,0.00005845579],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2085485,0.006630793,0.01248346,0.4470782,0.001801093,0.0002299272,0.0002236995,0.0003723539,0.322632],"genre_scores_gemma":[0.9571712,0.004886929,0.004573572,0.01364658,0.0002562287,0.0001756211,0.0001043007,0.00007131736,0.01911424],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02688863,"threshold_uncertainty_score":0.08995146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007498067144930236,"score_gpt":0.2652398440741495,"score_spread":0.2577417769292193,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}